Top Remote Data Engineer Jobs in Baton Rouge, LA

As a Big Data DevOps Lead, you will improve efficiency in Big Data infrastructure, coordinate initiatives across teams, lead architecture design efforts, ensure system reliability, and support operational tools while also providing on-call support.

As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.

As a Senior Machine Learning & Computer Vision Engineer at Dandy, you will build advanced models for 3D scans, research state-of-the-art methods for generative deep learning, and collaborate with cross-functional teams to enhance product offerings. Your role involves working with large datasets, implementing MLOps best practices, and innovating new solutions in a growing team environment.

The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.

The Chief Data Architect will lead data strategy and architecture efforts, design robust data architectures, oversee technology leadership, establish data governance, optimize data systems, mentor team members, and manage architecture projects within budget and scope.

The Director of Consumer Insights & Data Analytics will optimize customer behaviors and improve the purchase journey using data insights. Responsibilities include leading research, analyzing user behavior, driving marketing activities, and developing tools for measuring brand strength and customer segmentation.

As a Data Engineer at Vetcove, you will design and maintain scalable data pipelines and optimize data workflows using advanced methods like Large Language Models (LLMs). You will collaborate with backend engineers to ensure data integration and utilize databases for efficient data storage and querying.